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Characterization of cell-induced astigmatism in high-resolution imaging
Rick Rodrigues de Mercado1, Hedde van Hoorn1, Martin de Valois1
1Physics of Life Processes, Kamerligh Onnes-Huygens Laboratory, Leiden University, The Netherlands.
Biomedical Optics Express
|February 14, 2022
Summary
Sample-induced astigmatism from refractive index variations can cause significant aberrations in super-resolution microscopy. This study introduces a model to assess astigmatism, finding cell nuclei cause major errors, while smaller objects do not significantly impact super-resolution imaging.
Area of Science:
- Optical microscopy
- Biophysics
- Cell biology
Background:
- High-resolution and super-resolution microscopy are increasingly used for imaging biological samples.
- Inhomogeneous samples, common in live cells and tissues, cause refractive index variations.
- These variations lead to light refraction and sample-induced astigmatism, a major challenge.
Purpose of the Study:
- To develop a simple model and figure-of-merit to assess astigmatism in microscopy.
- To quantify the impact of sample-induced astigmatism on super-resolution imaging accuracy.
- To evaluate astigmatism effects from different biological structures.
Main Methods:
- Development of a theoretical model to predict astigmatism.
- Definition of a figure-of-merit for quantifying astigmatism's impact.
- Analysis of astigmatism generated by cellular components like the nucleus and vesicles.
Main Results:
- Astigmatism from cell nuclei can cause aberrations up to hundreds of nanometers.
- These aberrations exceed the positional accuracy required for super-resolution techniques.
- Astigmatism from smaller objects (bacteria, vesicles) is negligible for typical super-resolution experiments.
Conclusions:
- Sample-induced astigmatism is a critical factor limiting super-resolution microscopy in biological samples.
- The cell nucleus is a significant source of astigmatism, potentially compromising imaging results.
- A simple model can effectively assess astigmatism, aiding experimental design in super-resolution imaging.

